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document understanding

Document understanding involves document classification, layout analysis, information extraction, and DocQA.

Papers

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Showing 151–175 of 309 papers

TitleStatusHype
DocumentNet: Bridging the Data Gap in Document Pre-Training—0
Document Image Rectification Bases on Self-Adaptive Multitask Fusion—0
Document Layout Analysis with Aesthetic-Guided Image Augmentation—0
Document Understanding for Healthcare Referrals—0
DocVLM: Make Your VLM an Efficient Reader—0
DocXChain: A Powerful Open-Source Toolchain for Document Parsing and Beyond—0
DOGE: Towards Versatile Visual Document Grounding and Referring—0
DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency—0
DrVideo: Document Retrieval Based Long Video Understanding—0
DUBLIN -- Document Understanding By Language-Image Network—0
Efficient End-to-End Visual Document Understanding with Rationale Distillation—0
Efficient layout-aware pretraining for multimodal form understanding—0
Enhancing Question Answering on Charts Through Effective Pre-training Tasks—0
Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models—0
Enumeration of Extractive Oracle Summaries—0
ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding—0
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling—0
Extract with Order for Coherent Multi-Document Summarization—0
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text—0
On Scaling Up a Multilingual Vision and Language Model—0
OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis—0
PaddleOCR 3.0 Technical Report—0
PDFVQA: A New Dataset for Real-World VQA on PDF Documents—0
Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning—0
Position Masking for Improved Layout-Aware Document Understanding—0
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